NN music: Improvising with a 'living' computer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4969 LNCS, Issue , 2008, Pages 337-350

  Young, Michael ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Artificial neural networks; Improvisation; Live algorithms; Performance systems

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORKS; IMPROVISATION; INTERNATIONAL SYMPOSIUM; LIVE ALGORITHMS; MACHINE SYSTEMS; MAX/MSP; PERFORMANCE SYSTEMS; STOCHASTIC PROCESSING;

COMPUTER MUSIC;

EID: 50249154906     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85035-9_23     Document Type: Conference Paper

References (21)

1. Blackwell, T., Young, M.: Live Algorithms. Artificial Intelligence and Simulation of Behaviour Quarterly 122, 7-9 (2005)
2. Young, M.: NN Music: Improvising with a 'Living' Computer. In: Proc.of the International Computer Music Conference, ICMA, San Francisco (2007)
3. Young, M.: Au(or)a: Exploring Attributes of a Live Algorithm. Electroacoustic Music Stud-ies Network Conference (2007), http://www.ems- network.org/spip.php?rubrique49
4. Lewis, G.E.: Too Many Notes: Computers, Complexity and Culture in Voyager. Leonardo Music Journal 10, 33-39 (2000)
5. Miranda, E.R., Biles, J.A. (Eds.): Evolutionary Computer Music. Springer, London (2007)
6. Blackwell, T., Young, M.: Self-Organised Music. Organised Sound 9(2), 123-136 (2004)
7. Bastien, B.T., Hostager, T.: Cooperative as communicative accomplishment: a symbolic interaction analysis of an improvised jazz concert. Communication Studies 43, 92-104 (1992)
8. Rao, A.S., Georgeff, M.P.: Modeling rational agents within a BDI-architecture. In: 2nd Internationl Conference on the Principles of Knowledge Representation and Reasoning, pp. 473-484. Morgan Kaufmann, San Francisco (1991)
9. Hermann, T., Ritter, H.: Sound and Meaning in Auditory Data Display. IEEE Special Issue on Engineering and Music - Supervisory Control and Auditory Communication 92(4), 730-741 (2004)
10. Eco, U.: The Open Work. In: Trans. Anna Cancogni. Harvard University Press, Cambridge (1989)
11. Wessel, D., Wright, M.: Problems and Prospects for Intimate Musical Control of Computers. Computer Music Journal 26(3), 11-22 (2002)
12. Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper Collins (1991)
13. Sawyer, R.K.: Group creativity: Music, Theater, Collaboration. Lawrence Erlbaum Associates, Mahwah (2003)
14. Boulez, P.: Sonate, que me veuxtu? In: Orientations: Collected Writings, Faber and Faber, London (1986)
15. Adorno, T.: Vers une Musique Informelle. In: Quasi une Fantasia, trans. Rodney Livin-stone. Verso, London (1963)
16. Stojanov, G., Stojanoski, K.: Computer Interfaces: From Communication to Mind-Prosthesis Metaphor. In: Beynon, M., Nehaniv, C.L., Dautenhahn, K. (eds.) CT 2001. LNCS (LNAI), vol. 2117, pp. 301-311. Springer, Heidelberg (2001)
17. Toivianen, P.: Symbolic AI versus Connectionism in Music Research. In: Miranda, E. (ed.) Readings in Music and Artificial Intelligence. Harwood Academic (2000)
18. Koblyakov, L.: Pierre Boulez: A World of Harmony. Harwood Academic (1990)
19. Bailey, D.: Improvisation: Its Nature and Practice in Music. Da Capo Press (1992)
20. Xenakis, I.: Formalized Music: Thought and Mathematics in Composition. Rev. Ed. Pen-dragon Press (2001)
21. Prevost, E.: No Sound Is Innocent: AMM and the Practice of Self-invention. Copula (1995)